PERSONALIZED EXERCISE SERVICE PROVIDING METHOD AND APPARATUS THEREOF

• US 20160279476A1
• Filed: 03/25/2016
• Published: 09/29/2016
• Est. Priority Date: 03/25/2015
• Status: Active Grant

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: KIM, Kye-Kyung, KANG, Sang-Seung, CHI, Su-Young, KIM, Jae-Hong, SHIN, Sung-Woong
• Granted Patent: US 10,467,463 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/30221 Sports video; Sports image
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

Disclosed are a personalized exercise service providing method and an apparatus thereof. An personalized exercise service providing apparatus according to an example includes a user class identifier configured to identify user class of a user; an exercise data acquisitor configured to acquire exercise data of the user; and a model generator configured to generate a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user to provide the most effective exercise model to each user through user recognition.

Claims

1. A personalized exercise service providing apparatus comprising:

a user class identifier configured to identify user class of a user;

an exercise data acquisitor configured to acquire exercise data of the user; and

a model generator configured to generate a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user.

2. The apparatus of claim 1, wherein the user class is classified based on at least one of sex, age, and body type of the user.

3. The apparatus of claim 1, further comprising an image processor configured to recognize an image that is obtained by a visual sensor,

wherein the user class identifier identifies the user class based on image recognition result received from the image processor and pre-established database.

4. The apparatus of claim 3, wherein the pre-established database comprises at least one of feature vector for each user class and information of body feature points for each user class.

5. The apparatus of claim 3, wherein the image processor detects a face region of the user from an image that is obtained by a first visual sensor, extracts at least one of feature vector for sex identification and feature vector for age identification from the detected face region, and provides the extracted feature vector to the user class identifier as image recognition result,

wherein the user class identifier identifies at least one of sex and age of the user based on the image recognition result received from the image processor.

6. The apparatus of claim 3, wherein the image processor detects a body region of the user from an image that is obtained by a second visual sensor, extracts body feature points from the detected body region, and provides information of the extracted body feature points to the user class identifier as image recognition result,

wherein the user class identifier identifies body type of the user based on the image recognition result received from the image processor.

7. The apparatus of claim 6, further comprising an equipment controller configured to control exercise equipment based on the identified body type of the user or provide exercise equipment information to the user.

8. The apparatus of claim 1, further comprising an image processor configured to recognize an image that is obtained by a visual sensor,

wherein the exercise data acquisitor acquires the exercise data of the user by analyzing the image recognition result received from the image processor.

9. The apparatus of claim 1, wherein the model generator compares exercise data of the standard exercise model corresponding to the user class with the acquired exercise data to generate the personalized exercise model comprising the difference thereof.

10. The apparatus of claim 1, wherein the model generator builds database for generating exercise models corresponding to each user class by using exercise data of users and generates the standard exercise model corresponding to each user class based on the built database for generating exercise models.

11. A personalized exercise service providing method comprising

determining a user class of a user;

acquiring exercise data of the user; and

generating a personalized exercise model of the user based on a standard exercise model corresponding to the determined user class and the acquired exercise data of the user.

12. The method of claim 11, wherein the user class is classified based on at least one of sex, age, and body type of the user.

13. The method of claim 11, further comprising:

acquiring an image of the user;

recognizing the image; and

identifying the user class based on the image recognition result and pre-established database.

14. The method of claim 11, wherein the pre-established database comprises at least one of feature vector for each user class and information of body feature points for each user class.

15. The method of claim 13, wherein the recognizing the image comprises detecting a face region of the user from an image that is obtained by a first visual sensor and extracting at least one of feature vector for sex identification and feature vector for age identification from the detected face region, and

wherein the identifying the user class comprises identifying at least one of sex and age of the user based on the extracted feature vector.

16. The method of claim 13, wherein the recognizing the image comprising detecting a body region of the user from an image that is obtained by a second visual sensor and extracting body feature points from the detected body region,

wherein the identifying the user class comprises identifying body type of the user based on information of the extracted body feature points.

17. The method of claim 16, further comprising controlling exercise equipment based on the identified body type of the user or providing exercise equipment information to the user.

18. The method of claim 11, wherein the acquiring exercise data of the user comprises:

acquiring an image of the user;

recognizing the image of the user; and

acquiring the exercise data of the user by analyzing the image recognition result.

19. The method of claim 11, wherein the generating a personalized exercise model comprises comparing exercise data of the standard exercise model corresponding to the user class with the acquired exercise data to generate the personalized exercise model comprising the difference thereof.

20. The method of claim 11, further comprising:

building database for generating exercise models corresponding to each user class by using exercise data of users; and

generating the standard exercise model corresponding to each user class based on the built database for generating exercise models.